{"id":"W2965242450","doi":"10.1109/access.2019.2932327","title":"Adaptive Voltage-Based Load Shedding Scheme for the DC Microgrid","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Load Shedding; Voltage; Control theory (sociology); Voltage drop; Power (physics); Computer science; Electric power system; Engineering; Electrical engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006379,0.0002610713,0.000183531,0.0001893107,0.0003099446,0.0002567571,0.0005544479,0.0001600395,0.001033711],"category_scores_gemma":[0.0002187708,0.00006381733,0.0001040087,0.0002132662,0.0001725535,0.0002378078,0.0002398579,0.0002250888,0.000138633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336537,"about_ca_system_score_gemma":0.0002459224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600755,"about_ca_topic_score_gemma":0.001966645,"domain_scores_codex":[0.9999379,0.00001049796,0.000005927325,0.00001678273,0.0000192485,0.000009631335],"domain_scores_gemma":[0.9998802,0.00001398553,0.00002689104,0.00002066762,0.00004328557,0.00001493391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007834503,0.0003133153,0.003075409,0.0002323388,0.00005832948,0.0003795999,0.0003011532,0.4973628,0.1246819,0.00914048,0.004171911,0.3594994],"study_design_scores_gemma":[0.00003995564,0.0002533766,0.0007871133,0.000006472259,0.00001367003,0.0001007872,0.00003213219,0.9841146,0.01103918,0.001389738,0.002206724,0.00001614882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3924325,0.0004207548,0.5934832,0.0002160527,0.0001361143,0.0002561309,0.0001383868,0.001163844,0.01175305],"genre_scores_gemma":[0.9887212,0.00004259173,0.01059211,0.00001591818,0.00001025088,0.00002235964,0.00002192573,0.00000517666,0.0005684347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001600755,"threshold_uncertainty_score":0.003458142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388771112094804,"score_gpt":0.2375225314612178,"score_spread":0.2236348203402697,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}